James Bode
James Bode
Sr. Digital and Data Science Product Manager at Johnson & Johnson
Track: Logistics
LoadMax – 3D Freight Loading Optimization
Product load building within the Johnson and Johnson distribution network was conventionally done by human experience, which had resulted in low container utilization. LoadMax is a data science model based optimization solution created to generate a 3-Dimensional “load plan” for outbound operations. The goal of LoadMax is to minimize the number of freight containers in a shipment by deploying a scalable advanced optimization solution. We have developed a sophisticated mathematical Mixed Integer Programming (MIP) and Rule Base Heuristics model containing thousands of decision variables and constraints, with the model recommendations integrated into the international outbound operations at the Johnson and Johnson MedTech logistics center. This tool provides highly scalable and configurable optimal loading instructions with output visualization, which allows its applicability in different regions and markets.
